EEG Compression of Scalp Recordings based on Dipole Fitting

TL;DR

A novel technique for electroencephalogram (EEG) compression is proposed, based on methods borrowed from dipole fitting that is usually used in order to find a solution to the classic problems in EEG analysis: inverse and forward problems.

Abstract

A novel technique for Electroencephalogram (EEG) compression is proposed in this article. This technique models the intrinsic dependency inherent between the different EEG channels. It is based on dipole fitting that is usually used in order to find a solution to the classic problems in EEG analysis: inverse and forward problems. The suggested compression system uses dipole fitting as a first building block to provide an approximation of the recorded signals. Then, (based on a smoothness factor,) appropriate coding techniques are suggested to compress the residuals of the fitting process. Results show that this technique works well for different types of recordings and is even able to provide near- lossless compression for event-related potentials.

Figures (9)

• Figure 1: Block Diagram of the Overall Compression System.
• Figure 2: Example of the DWT coefficients of a dipole moment with $N=256$.
• Figure 5: Block Diagram of the Overall Compression System.
• Figure 6: Effect of increasing the number of dipoles on the $PRD$ values of the output of the forward model.
• Figure 7: Performance Comparison of the ARX-based residual coding method with varying number of centroids and clusters applied on the residuals of Patient 1 of MNI dB.